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Based on our knowledge of the functioning human brain, ANNs (artificial neural networks) serve as a modern paradigm for computing. Drawing on the author¿s substantial experience, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of ANNs in modern environmental and biological analysis. Presenting basic principles together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists use the power of the ANN model to explain physical concepts and to demonstrate complex natural processes.
Multivariate, heterogeneous data has been traditionally analyzed using the 'one at a time' variable approach, often missing the main objective of discovering the relationships among multiple variables and samples. This title provides an introduction to chemometric methods used in environmental chemical analysis.
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